Short-term load forecasting for microgrid energy management system using hybrid SPM-LSTM
Author:
Funder
University of Tabriz
Publisher
Elsevier BV
Subject
Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development
Reference56 articles.
1. Mining sequential patterns;Agrawal,1995
2. A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration;Alipour;Energy,2020
3. A proposed intelligent short-term load forecasting hybrid models of ANN, WNN and KF based on clustering techniques for smart grid;Aly;Electric Power Systems Research,2020
4. Hybrid GA-PSO optimization of artificial neural network for forecasting electricity demand;Anand;Energies,2018
5. Rule-based autoregressive moving average models for forecasting load on special days: A case study for France;Arora;European Journal of Operational Research,2018
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